Joseph Futoma
8 papers · 2013–2025 · 4 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver π Academic Marathon Β· Half πΊοΈ Taxonomy Completionist (19) π£ Hot Topic Early Bird π Conference Polyglot Β· Bronze
π§¬
Topic Evolution
π
Conference Pioneer
Venues
Top co-authors
Research topics
Artificial Intelligence
(6)
Machine Learning
(5)
Reinforcement Learning
(3)
Bayesian & Probabilistic Β· Artificial Intelligence
(3)
Core AI
(3)
Methods
(3)
Healthcare & Medicine
(2)
Clinical
(2)
Core Methods
(2)
Learning Types
(2)
Optimization & Theory
(2)
Application Areas
(1)
Applications
(1)
Bayesian & Probabilistic Β· Machine Learning
(1)
Research
(1)
Keywords
confidence interval
(2)
multi-task learning
(1)
probabilistic model
(1)
bayesian nonparametrics
(1)
variational inference
(1)
clinical prediction
(1)
time series classification
(1)
gaussian process
(1)
optimal control
(1)
gaussian process regression
(1)
model-based reinforcement learning
(1)
batch learning
(1)
off-policy learning
(1)
poisson process
(1)
off-policy evaluation
(1)
latent feature model
(1)
topic model
(1)
recurrent neural network
(1)
neural ordinary differential equation
(1)
reinforcement learning
(1)
Papers
Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions
ICML 2025
Model-based metrics: Sample-efficient estimates of predictive model subpopulation performance
MLHC 2021
Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions
ICML 2020
Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs
NeurIPS 2020
POPCORN: Partially Observed Prediction Constrained Reinforcement Learning
AISTATS 2020
Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier
ICML 2017
Predicting Disease Progression with a Model for Multivariate Longitudinal Clinical Data
MLHC 2016
A unifying representation for a class of dependent random measures
AISTATS 2013